id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jqqvf7vkqfaztm3eqhkr7qvrzi	Rahim Dehkharghani	Sentimental causal rule discovery from Twitter	2014	8	.pdf	application/pdf	7339	594	65	techniques to extract sentimental causal rules and show their also propose sentimental causal rule discovery techniques of sentimental causal rules to process the tweets. This paper proposes a four-fold methodology for sentimental causal rule discovery. step is extracting the causal association rules based on the from all tweets which were later used in causal rule extraction. In other words, causal rules were extracted based on sentiment analysis in Twitter and also causal rule inference. To our knowledge the current work is the first one investigating Twitter user views using sentimental causal rules. sentiment analysis and causal rule mining techniques. words, the aspects in different sides of a causal rule could have SENTIMENTAL CAUSAL RULE EXTRACTION In this section, the details of sentimental causal rule extraction from textual data is explained. Based on the statistical processing of the tweets, we assigned three polarity values to each causal rule, which indicate	./cache/work_jqqvf7vkqfaztm3eqhkr7qvrzi.pdf	./txt/work_jqqvf7vkqfaztm3eqhkr7qvrzi.txt